Iterative Group Analysis (iGA): A simple tool to enhance sensitivity and facilitate interpretation of microarray experiments

Table 4 Summary of the case studies used for the "semi-blind" evaluation of iGA. The first two columns indicate the study organism and experiment performed. The next two columns show the tissue and physiological condition identified on the basis of iGA.

Organism	Experimental condition	Tissue identified	Condition identified	Remarks
Mouse	activated T-cells	leukocytes	infection
Human	CaCo-2 cell Campylobacter infection	cell culture	anoxia, growth arrest, immediate-early response
Human	CaCo-2 cell Campylobacter infection	cell culture – hepatocytes	growth arrest, acute-phase response	1
Human	polymyositis biopsies	muscle biopsies	inflammation, anaerobiosis
Human	Chronic Fatigue Syndrome muscle	muscle biopsies	"older muscle"
Human	lipid phosphate phosphatase-transfected HEK cells	embryonal neurons	mostly minor changes	2
Mouse	testis of hormone receptor knock-outs	spermatogenic tissue	steroidogenesis vs. spermatogenesis	3
Rat	phaeochromocytoma treated with neural growth factor	neurons?	growth-factor response vs. basic metabolism	4
Human	activated monocytes	myeloid leukocytes	inflammation; early activation; chemokines

1 CaCo2 cells have an hepatocyte-like acute-phase response [16]2 HEK cells have important neuronal features [17]3 differences in sperm number are the main effect of the gene disruptions 4 phaeochromocytoma are neural-crest derived cells

ISSN: 1471-2105